He put sensors on golf clubs, shipped products for half of Amazon, then walked into a finance company knowing nothing about finance. On purpose.
Satayan Mahajan runs Datalign Advisory, a Cambridge fintech that does one deceptively simple thing: it matches an American who needs financial advice with an advisor worth trusting. Not a list of forty names. One match. The company has referred more than $80 billion in assets and works with over 13,000 vetted advisors, and the person steering it spent most of his career nowhere near a balance sheet.
That gap is the point. When Cogo Labs founder Dave Blundin went looking for someone to run the spinout, he didn't want a wealth-management lifer. He wanted someone who would look at the way Americans find financial help and ask why it was still so clumsy. Mahajan had the right resume for being wrong about the right things.
"Sometimes, you like people that don't come from an industry because they ask really silly questions," Mahajan told the Boston Globe in 2024, shortly after taking the job. The silly questions are the product roadmap. Why does matching feel like a phone book? Why should a person searching for guidance get handed homework instead of a hand?
Datalign's answer leans on AI for the matching and on human-centered design for everything around it. Mahajan frames the company's mission plainly: it is "transforming how Americans discover and connect with financial guidance at a time when they need it most." The market agreed enough to name it Financial Advisory Platform of the Year 2026.
He is, by his own admission, doing this for the first time. He has never taken a company public. He intends to try with this one, and he describes the prospect the way other people describe a roller coaster, not a root canal.
In 2024, Datalign connected over $40 billion in assets with more than 7,000 advisors. By 2026 the cumulative referral figure had crossed $80 billion - a number that started, two years earlier, at roughly $15 billion and a team of twenty people in a Kendall Square office.
"I've never taken a company public, and that looks like it would be a fun ride."- Satayan Mahajan, Boston Globe, 2024
Co-founds Motus, a venture born when, as the lore goes, a bunch of MIT folks decided gamers deserved immersive, motion-based control. He becomes CEO and helps build one of the first motion-controlled game controllers and the world's first fully self-contained wireless motion-capture system.
Founds and runs iClub Inc., turning that motion-sensing technology toward sport. The iClub reads the minute details of a golf swing, earning global recognition and partnerships with major sports brands. He files patents in motion tracking and analysis.
MIT Technology Review profiles his motion-control work as the industry races to catch the wave the Nintendo Wii kicked up. He was early, which is its own kind of expensive.
Joins Amazon as GM and Head of Product for Amazon.com, leading e-commerce experience work for eight years. He calls it his "entrepreneurial holiday" - a phrase that tells you exactly how he sees a steady paycheck at one of the world's largest companies.
Dave Blundin, whom he knew from the board of EverQuote, recruits him out of Amazon to be the founding CEO of Datalign Advisory, a Cogo Labs spinout. He returns to startup mode and a job he has never done before.
Datalign rolls out compliance-by-design agentic AI agents for wealth management and is named Financial Advisory Platform of the Year 2026 by FinTech Breakthrough.
Look across the resume and the same instinct keeps showing up. A golf swing is a stream of tiny signals that, read correctly, tell you something true about a person. So is the question of which advisor a stranger should trust with their savings. Mahajan has spent a career building systems that turn messy human behavior into a clean, useful match.
His patents span audio, social media, and motion analysis. The shared thread is sensing: capture the signal, model it, give the human something they can act on. Datalign is that same move pointed at a softer, higher-stakes target - the gap between a worried saver and a fiduciary who actually fits them.
His view of AI follows from there. "The future of AI in finance won't be defined by scale or speed," he wrote, "but by whether the systems we build are perfectly aligned with the people they're meant to serve." Alignment, not horsepower. The company's name is not an accident.
Most people would call eight years running product at Amazon a career peak. He calls it a break between building his own things. It tells you where his center of gravity actually sits.
Before motion gaming went mainstream, he was strapping motion capture onto golfers and gamers. Being early is a recurring habit - and an expensive one.
His whole pitch for outsiders is that they ask the obvious things insiders have learned to stop asking. He treats that naivety as an asset, not a liability.
"Sometimes, you like people that don't come from an industry because they ask really silly questions."
"Datalign is transforming how Americans discover and connect with financial guidance at a time when they need it most."
"We've invested heavily in agentic AI over the last two years, and what we've built isn't an incremental improvement - it's the new standard."
"The future of AI in finance won't be defined by scale or speed - but by whether the systems we build are perfectly aligned with the people they're meant to serve."
Sources: Datalign Advisory, The Boston Globe, The AI Journal, MIT Technology Review, Vardis, Crunchbase, Google Patents. Facts drawn from public reporting and company statements.